Unrelated volunteer donors (69) recruited by the National Marrow Donor Program were HLA typed by DNA-based methods for both the HLA-A and -B loci. Each donor had been previously typed by serology by at least two independent laboratories. Of the 69 samples, all serologic laboratories were in concordance for HLA-A in 62 typed samples and for HLA-B in 48 typed samples. Of the serologically concordant samples, 5 samples typed for HLA-A and 7 samples typed for HLA-B received DNA and serology types differing in their level of resolution. One sample typed for HLA-A and 3 samples typed for HLA-B by DNA methods gave different results from their serologic assignments. Of the samples exhibiting disparities among the different serologic typing laboratories, the DNA-defined types of 7 samples typed for HLA-A and 18 samples typed for HLA-B were consistent with at least one of the serologic assignments. The DNA types for the remaining 3 HLA-B typed samples did not agree with the serologic assignments and their alleles were subsequently sequenced. One of these sequences was a previously undefined allele, B*1537. Sharing of polymorphic sequences among HLA allelic products creates difficulties for consistent serologic assignments of some types complicating the process of identifying potential donors from bone marrow registries. Thus, the use of DNA-based typing techniques for characterization of donor class I types should allow a more consistent definition of types and should speed the donor selection process.
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Comput Methods Programs Biomed
January 2025
School of Information Science and Technology, Fudan University, Shanghai, 200433, China; Key Laboratory of Medical Imaging, Computing and Computer Assisted Intervention, Shanghai, 200433, China. Electronic address:
Background And Objective: Utilizing AI to mine tumor microenvironment information in whole slide images (WSIs) for glioma molecular subtype and prognosis prediction is significant for treatment. Existing weakly-supervised learning frameworks based on multi-instance learning have potential in WSIs analysis, but the large number of patches from WSIs challenges the effective extraction of key local patch and neighboring patch microenvironment info. Therefore, this paper aims to develop an automatic neural network that effectively extracts tumor microenvironment information from WSIs to predict molecular typing and prognosis of glioma.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Science and Technology Branch, Pacific Environmental Science Centre, Environment and Climate Change Canada, Pacific and Yukon Laboratory for Environmental Testing, North Vancouver, BC, Canada.
Spilled plant-based oils behave very differently in comparison to petroleum oils and require different clean-up measures. They do not evaporate, disperse, dissolve, or emulsify to a significant degree but can polymerize and form an impermeable cap on sediment, smothering benthic media and resulting in an immediate impact on the wildlife community. The current study explored the application of rapid up-to-date direct analysis in real time (DART) with high-resolution mass spectrometry for plant-based oil typing.
View Article and Find Full Text PDFAnn Clin Microbiol Antimicrob
January 2025
Department of Microbiology, Medical College, Yangzhou University, Yangzhou, 225001, China.
Background: Carbapenem-resistant Acinetobacter baumannii (CRAB) is recognized as a common clinical conditional pathogen with bla gene-mediated multidrug-resistance that is a significant threat to public health safety. Timely and effective infection control measures are needed to prevent their spread.
Methods: We conducted a retrospective study of CRAB patients at three teaching hospitals from 2019 to 2022.
Annu Rev Food Sci Technol
January 2025
1Food Science and Human Nutrition Department, University of Florida, Gainesville, Florida, USA; email:
Foodborne illnesses are a significant global public health challenge, with an estimated 600 million cases annually. Conventional food microbiology methods tend to be laborious and time consuming, pose difficulties in real-time utilization, and can display subpar accuracy or typing capabilities. With the recent advancements in third-generation sequencing and microbial omics, nanopore sequencing technology and its long-read sequencing capabilities have emerged as a promising platform.
View Article and Find Full Text PDFInt J Syst Evol Microbiol
January 2025
Division of Neurogenetics, Center for Neurological Diseases and Cancer, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Small, obligately anaerobic strains 13CB8C, 13CB11C, 13CB18C and 13GAM1G were isolated from a faecal sample in a patient with Parkinson's disease with a history of duodenal resection. After conducting a comprehensive polyphasic taxonomic analysis including genomic analysis, we propose the establishment of one new genus and four new species. The novel bacteria are sp.
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